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DBMS > 4D vs. Atos Standard Common Repository vs. Ignite vs. IRONdb vs. QuestDB

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Ignite vs. IRONdb vs. QuestDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonIgnite  Xexclude from comparisonIRONdb  Xexclude from comparisonQuestDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApplication development environment with integrated database management systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA high performance open source SQL database for time series data
Primary database modelRelational DBMSDocument store
Key-value store
Key-value store
Relational DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositoryignite.apache.orgwww.circonus.com/solutions/time-series-database/questdb.io
Technical documentationdeveloper.4d.comapacheignite.readme.io/­docsdocs.circonus.com/irondb/category/getting-startedquestdb.io/­docs
Developer4D, IncAtos Convergence CreatorsApache Software FoundationCirconus LLC.QuestDB Technology Inc
Initial release19842016201520172014
Current releasev20, April 20231703Apache Ignite 2.6V0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, .NetC and C++Java (Zero-GC), C++, Rust
Server operating systemsOS X
Windows
LinuxLinux
OS X
Solaris
Windows
LinuxLinux
macOS
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesoptionalyesyes infotext, numeric, histogramsyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesyesyesnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyes infoclose to SQL 92noANSI-99 for query and DML statements, subset of DDLSQL-like query language (Circonus Analytics Query Language: CAQL)SQL with time-series extensions
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesnoyes (compute grid and cache interceptors can be used instead)yes, in Luano
Triggersyesyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingAutomatic, metric affinity per nodehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes (replicated cache)configurable replication factor, datacenter awareSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes infothrough memory mapped files
User concepts infoAccess controlUsers and groupsLDAP bind authenticationSecurity Hooks for custom implementationsno
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryIgniteIRONdbQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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